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Advanced AI in Robotics

This advanced course explores cutting-edge techniques for integrating Artificial Intelligence (AI) and Large Language Models (LLMs) into robotics. Participants will learn to build intelligent robotic systems capable of autonomous decision-making, natural language interaction, and collaborative behavior. The curriculum focuses on deploying AI-augmented robotics in real-world scenarios, such as healthcare, logistics, disaster recovery, and industrial automation, while addressing ethical, safety, and scalability challenges.

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Course Duration:

39 hours

Level:

Advanced

Course Objectives

  • Master the integration of LLMs into robotics for natural language processing, planning, and control.

  • Build AI-augmented systems for perception, contextual understanding, and multi-agent collaboration.

  • Deploy intelligent robotics applications on edge devices and cloud platforms.

  • Address advanced topics such as reinforcement learning, ethical AI, and regulatory compliance.

  • Complete a capstone project showcasing innovative AI-driven robotics solutions.

Prerequisites

  • Proficiency in Python and C++.

  • Strong foundation in robotics concepts, including kinematics, dynamics, and ROS.

  • Expertise in machine learning and deep learning techniques.

  • Familiarity with cloud platforms and real-time systems (recommended).

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